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	<title>Comments on: 5 tips for machine learning success outside of Silicon Valley &#124; IBM Big Data &amp; Analytics Hub</title>
	<atom:link href="http://www.epanorama.net/blog/2017/11/23/5-tips-for-machine-learning-success-outside-of-silicon-valley-ibm-big-data-analytics-hub/feed/" rel="self" type="application/rss+xml" />
	<link>https://www.epanorama.net/blog/2017/11/23/5-tips-for-machine-learning-success-outside-of-silicon-valley-ibm-big-data-analytics-hub/</link>
	<description>All about electronics and circuit design</description>
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		<title>By: Tomi Engdahl</title>
		<link>https://www.epanorama.net/blog/2017/11/23/5-tips-for-machine-learning-success-outside-of-silicon-valley-ibm-big-data-analytics-hub/comment-page-1/#comment-1574214</link>
		<dc:creator><![CDATA[Tomi Engdahl]]></dc:creator>
		<pubDate>Wed, 13 Dec 2017 12:52:44 +0000</pubDate>
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		<description><![CDATA[8 emerging AI jobs for IT pros
https://enterprisersproject.com/article/2017/12/8-emerging-ai-jobs-it-pros?sc_cid=7016000000127ECAAY

What IT jobs will be hot in the age of AI? Take a sneak peek at roles likely to be in demand

Ganapathi expects a growing enterprise focus on AI and machine learning to generate new roles in areas including:

AI oversight &amp; compliance:  Ensuring that AI programs are running as they should and not being compromised by any bugs, data errors, or incorrect data sources.
AI management: Working on the technical implementations and operations of AI.
Data aggregation and munging: Collecting (especially from obscure sources) and cleaning data sets for AI use.]]></description>
		<content:encoded><![CDATA[<p>8 emerging AI jobs for IT pros<br />
<a href="https://enterprisersproject.com/article/2017/12/8-emerging-ai-jobs-it-pros?sc_cid=7016000000127ECAAY" rel="nofollow">https://enterprisersproject.com/article/2017/12/8-emerging-ai-jobs-it-pros?sc_cid=7016000000127ECAAY</a></p>
<p>What IT jobs will be hot in the age of AI? Take a sneak peek at roles likely to be in demand</p>
<p>Ganapathi expects a growing enterprise focus on AI and machine learning to generate new roles in areas including:</p>
<p>AI oversight &amp; compliance:  Ensuring that AI programs are running as they should and not being compromised by any bugs, data errors, or incorrect data sources.<br />
AI management: Working on the technical implementations and operations of AI.<br />
Data aggregation and munging: Collecting (especially from obscure sources) and cleaning data sets for AI use.</p>
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